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Describing Physics For Physical Reasoning : Force-Based Sequential Manipulation Planning

, , and . IEEE Robotics and Automation Letters, 5 (4): 6209-6216 (2020)
DOI: 10.1109/LRA.2020.3010462

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Optimality principles in human point-to-manifold reaching accounting for muscle dynamics, , , , , and . Frontiers in Computational Neuroscience, (2020)Describing Physics For Physical Reasoning : Force-Based Sequential Manipulation Planning, , and . IEEE Robotics and Automation Letters, 5 (4): 6209-6216 (2020)Muscles reduce neuronal information load : quantification of control effort in biological vs. robotic pointing and walking, , , , , and . Frontiers in Robotics and AI, (2020)Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics, , , , , and . Frontiers in Computational Neuroscience, (2020)Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties, , , , , , , and . 2018 IEEE International Conference on Robotics and Automation (ICRA), page 6461-6468. Piscataway, NJ, IEEE, (2018)Active Multi-Contact Continuous Tactile Exploration with Gaussian Process Differential Entropy, , and . 2019 International Conference on Robotics and Automation (ICRA), page 7844-7850. Piscataway, NJ, IEEE, (2019)Deep Visual Heuristics : Learning Feasibility of Mixed-Integer Programs for Manipulation Planning, , , and . 2020 IEEE International Conference on Robotics and Automation (ICRA), page 9563-9569. Piscataway, IEEE, (2020)Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning., , , and . CoRL, volume 164 of Proceedings of Machine Learning Research, page 245-255. PMLR, (2021)Optimality principles in human point-to-manifold reaching accounting for muscle dynamics, , , , , and . Frontiers in Computational Neuroscience, (2020)Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly, , , , and . IEEE transactions on robotics, (2022)